Triple
T16199792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prague commuter rail |
E393166
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Říčany |
E241060
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Říčany | Statement: [Prague commuter rail, connectsTo, Říčany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Říčany Context triple: [Prague commuter rail, connectsTo, Říčany]
-
A.
Říčany
chosen
Říčany is a town in the Czech Republic, located just southeast of Prague and known as a popular residential and commuter suburb with historical roots.
-
B.
Přerov
Přerov is a city in the Olomouc Region of the Czech Republic, known as an important industrial and transport hub on the Bečva River.
-
C.
Ruzyně
Ruzyně is a district in the western part of Prague, Czech Republic, best known as the location of the city’s main international airport.
-
D.
Český Brod
Český Brod is a historic town in the Central Bohemian Region of the Czech Republic, known for its medieval architecture and role as a former royal town on important trade routes.
-
E.
Brdy
Brdy is a forested mountain range in the Central Bohemian Region of the Czech Republic, known for its rolling hills, former military areas, and extensive hiking and cycling trails.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222de2db481908471b9c73d444607 |
completed | April 17, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006796bed4819085d988d7f2d7afcb |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:03 a.m.